Daily
5 selected stories for 2026-07-25, grouped by topic. The rest is folded into the archive.
Argus is an AI QA engineer that takes plain English test descriptions, navigates your app like a human, and reports issues with video evidence. No selectors needed, so it withstands UI changes. It can also be called by coding agents via MCP to verify their work.
This repository provides reusable AI agent skills with regression eval track records. Each skill's eval history is the key artifact. It includes a World Cup picks report skill and instructions for running, comparing, and promoting evals.
All four major clouds now provide native agent sandboxes for isolated execution of untrusted code, but each uses a different isolation technology: Firecracker microVMs (AWS), gVisor kernel interception and lightweight Cloud Run isolation (Google), Hyper-V boundaries (Azure), and containers plus dedicated VMs (Cloudflare). The article argues that sandboxes are just containment boundaries; the real challenge is governance of credentials and behavior.
Two dozen companies and organizations signed an open letter urging US policymakers to protect open-weight AI models. The letter draws parallels to the open-source software movement, arguing that open weights lower barriers, increase competition, and prevent vendor lock-in. It also addresses security concerns, arguing that closed models are not inherently safer, and defends model distillation as a legitimate technique.
The author critiques an Electrek article featuring an AI-generated graph with grossly inaccurate data proportions, creates a corrected version in minutes, and demands a retraction and apology.